In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

We build on the state-of-the-art publicly available question answering system by docqa. The system extends BiDAF BIBREF4 with self-attention and performs well on document-level QA.  
 Question: What is the underlying question answering algorithm?
The system extends BiDAF BIBREF4 with self-attention

Cloze Track User Query Track 
 Question: What two types the Chinese reading comprehension dataset consists of?
cloze-style reading comprehension and user query reading comprehension questions

 Here a small portion of the large parallel corpus for English-German is used as a simulation for the scenario where we do not have much parallel data: Translating texts in English to German.  
 Question: Which languages do they test on for the under-resourced scenario?

English German

